Welcome to the first day of our exciting live course series, where we will explore building and deploying a Graphic Design AI SaaS platform using Next.js! I’m Kiran Dash, and I will be your guide throughout this creative and technical journey. In this session, we’ll dive into the foundational aspects of our project and set up the necessary environment for our application.
In this course, we will develop a robust graphic design platform inspired by Canva. Over the next few sessions, we will cover various technologies and frameworks including React, Next.js, Tailwind CSS, PostgreSQL, Stripe, Drizzle, Hono, Fabric.js, Vercel, and Replicate AI. We’ll build everything from a dynamic design editor to the payment processing system and deploy our platform live.
Our main project, termed Canvas Pro AI, will consist of several components, including:
We will start off by examining the project structure and setting up the development environment.
Ensure you have the latest version of Node.js installed. The current version should be around 20.11.1. You can check your version by running the command:
node -v
To create our project, we will utilize Next.js with the command:
npx create-next-app@latest canvas-pro-ai
During the setup, it will prompt you to select configurations including using TypeScript, ESLint, and Tailwind CSS. Opt for these features to facilitate better coding practices and styling.
After the setup, our project structure should look like this:
canvas-pro-ai/
├── app/
├── components/
├── features/
├── pages/
├── public/
├── styles/
└── tailwind.config.js
We will need several packages for our project. First, we install Fabric.js, a powerful library for managing objects on a canvas:
npm install fabric@5.3.0
We will also install JS Dom, as it may be necessary for handling some functionalities:
npm install jsdom
Additionally, we will use TypeScript definitions for Fabric:
npm install @types/fabric --save-dev
Upon installation, we will create the initial setup for our editor component. The editor will be responsible for handling all graphical interactions.
Inside the editor folder, create a file called useEditor.tsx
. This hook will manage the canvas initialization. Within it, we will establish the canvas reference and set its height and width according to the wrapper element.
To create a responsive canvas, we will utilize resizeObserver
, allowing the canvas to resize dynamically based on the user’s browser window size. In the hook, we will implement a resize observer for this purpose.
Finally, we will ensure that objects drawn on the canvas can be manipulated. This includes functions to create rectangles, adjust sizes, and handle user inputs.
Q: What technologies are used in this course?
A: We will be using React, Next.js, Tailwind CSS, PostgreSQL, Stripe, Drizzle, Hono, Fabric.js, Vercel, and Replicate AI.
Q: How long will the course take?
A: The course will have multiple sessions, and the completion time may vary based on participant engagement and project complexity.
Q: Can I ask questions during the session?
A: Yes! Feel free to ask any questions in the chat during the live sessions.
Q: Will there be recording available?
A: Yes, all sessions will be recorded and shared for later viewing.
Q: Are there any prerequisites for this course?
A: A basic understanding of JavaScript and React is beneficial but not mandatory.
Thank you for joining me on this first day of exploration into building a graphic design AI SaaS platform. I look forward to seeing you in the next session, where we will dive even deeper into developing our editor functionalities!
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